On Spectral Properties of Gradient-based Explanation Methods | Paper Citation Record

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This paper cites Sanity Checks for Saliency Maps.

On Spectral Properties of Gradient-based Explanation Methods Sanity Checks for Saliency Maps

Reference 2

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This paper cites Towards the Unification and Robustness of Perturbation and Gradient Based Explanations.

On Spectral Properties of Gradient-based Explanation Methods Towards the Unification and Robustness of Perturbation and Gradient Based Explanations

Reference 3

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This paper cites On the Robustness of Interpretability Methods.

On Spectral Properties of Gradient-based Explanation Methods On the Robustness of Interpretability Methods

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This paper cites Towards better understanding of gradient-based attribution methods for Deep Neural Networks.

On Spectral Properties of Gradient-based Explanation Methods Towards better understanding of gradient-based attribution methods for Deep Neural Networks

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This paper cites Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI.

On Spectral Properties of Gradient-based Explanation Methods Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

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This paper cites PLOS ONE10(7), e0130140 (Jul 2015).https://doi.org/10.

On Spectral Properties of Gradient-based Explanation Methods PLOS ONE10(7), e0130140 (Jul 2015).https://doi.org/10

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This paper cites The Shattered Gradients Problem: If resnets are the answer, then what is the question?.

On Spectral Properties of Gradient-based Explanation Methods The Shattered Gradients Problem: If resnets are the answer, then what is the question?

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This paper cites SAM: The Sensitivity of Attribution Methods to Hyperparameters.

On Spectral Properties of Gradient-based Explanation Methods SAM: The Sensitivity of Attribution Methods to Hyperparameters

Reference 9

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This paper cites Mehrpanah et al.

On Spectral Properties of Gradient-based Explanation Methods Mehrpanah et al

Reference 10

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This paper cites 2283–2292 (Jan 2022).https://doi.org/10.1109/ WACV51458.2022.00234, https://ieeexplore.ieee.org/document/9706795/.

On Spectral Properties of Gradient-based Explanation Methods 2283–2292 (Jan 2022).https://doi.org/10.1109/ WACV51458.2022.00234, https://ieeexplore.ieee.org/document/9706795/

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This paper cites The Bell System Technical Jour- nal 37(1), 185–282 (Jan 1958).

On Spectral Properties of Gradient-based Explanation Methods The Bell System Technical Jour- nal 37(1), 185–282 (Jan 1958)

Reference 12

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This paper cites Disagreement amongst counterfactual explanations: How transparency can be deceptive.

On Spectral Properties of Gradient-based Explanation Methods Disagreement amongst counterfactual explanations: How transparency can be deceptive

Reference 13

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This paper cites NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights.

On Spectral Properties of Gradient-based Explanation Methods NoiseGrad: Enhancing Explanations by Introducing Stochasticity to Model Weights

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This paper cites In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence.

On Spectral Properties of Gradient-based Explanation Methods In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

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On Spectral Properties of Gradient-based Explanation Methods True to the Model or True to the Data?

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This paper cites Learning to Explain: An Information-Theoretic Perspective on Model Interpretation.

On Spectral Properties of Gradient-based Explanation Methods Learning to Explain: An Information-Theoretic Perspective on Model Interpretation

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This paper cites In: Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Pro- cessing, ICASSP’98 (Cat.

On Spectral Properties of Gradient-based Explanation Methods In: Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Pro- cessing, ICASSP’98 (Cat

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This paper cites Explaining by Removing: A Unified Framework for Model Explanation.

On Spectral Properties of Gradient-based Explanation Methods Explaining by Removing: A Unified Framework for Model Explanation

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This paper cites In: 2009 IEEE Conference on Computer Vision and Pattern Recognition.

On Spectral Properties of Gradient-based Explanation Methods In: 2009 IEEE Conference on Computer Vision and Pattern Recognition

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

On Spectral Properties of Gradient-based Explanation Methods An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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This paper cites Understanding Deep Networks via Extremal Perturbations and Smooth Masks.

On Spectral Properties of Gradient-based Explanation Methods Understanding Deep Networks via Extremal Perturbations and Smooth Masks

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This paper cites Interpretable Explanations of Black Boxes by Meaningful Perturbation.

On Spectral Properties of Gradient-based Explanation Methods Interpretable Explanations of Black Boxes by Meaningful Perturbation

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On Spectral Properties of Gradient-based Explanation Methods Sharpness-Aware Minimization for Efficiently Improving Generalization

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This paper cites On the Lipschitz Constant of Deep Networks and Double Descent.

On Spectral Properties of Gradient-based Explanation Methods On the Lipschitz Constant of Deep Networks and Double Descent

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This paper cites Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations.

On Spectral Properties of Gradient-based Explanation Methods Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations

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On Spectral Properties of Gradient-based Explanation Methods Inherent Inconsistencies of Feature Importance

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On Spectral Properties of Gradient-based Explanation Methods Deep Residual Learning for Image Recognition

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On Spectral Properties of Gradient-based Explanation Methods Boundary-Aware Uncertainty for Feature Attribution Explainers

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On Spectral Properties of Gradient-based Explanation Methods A Benchmark for Interpretability Methods in Deep Neural Networks

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On Spectral Properties of Gradient-based Explanation Methods In: 2007 IEEE Conference on Computer Vision and Pattern Recognition

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On Spectral Properties of Gradient-based Explanation Methods Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps

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On Spectral Properties of Gradient-based Explanation Methods The (Un)reliability of saliency methods

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On Spectral Properties of Gradient-based Explanation Methods Cartoon Explanations of Image Classifiers

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On Spectral Properties of Gradient-based Explanation Methods Explaining Image Classifiers with Multiscale Directional Image Representation

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On Spectral Properties of Gradient-based Explanation Methods The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

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This paper cites Advances in neural information processing systems30 (2017).

On Spectral Properties of Gradient-based Explanation Methods Advances in neural information processing systems30 (2017)

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This paper cites In: Marmarelis, P.Z., Marmarelis, V.Z.

On Spectral Properties of Gradient-based Explanation Methods In: Marmarelis, P.Z., Marmarelis, V.Z

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On Spectral Properties of Gradient-based Explanation Methods Proceedings of the AAAI Conference on Artificial Intelligence36(11), 12342–12350 (Jun 2022)

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On Spectral Properties of Gradient-based Explanation Methods In: Proceedings of The 26th International Conference on Artificial Intelligence and Statistics

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On Spectral Properties of Gradient-based Explanation Methods Deep Double Descent: Where Bigger Models and More Data Hurt

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On Spectral Properties of Gradient-based Explanation Methods RISE: Randomized Input Sampling for Explanation of Black-box Models

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On Spectral Properties of Gradient-based Explanation Methods On the Spectral Bias of Neural Networks

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On Spectral Properties of Gradient-based Explanation Methods WIT Press (2011), google-Books-ID: k_rdcKaUdr4C

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On Spectral Properties of Gradient-based Explanation Methods In: Escalante, H.J., Escalera, S., Guyon, I., Baró, X., Güçlütürk, Y., Güçlü, U., van Gerven, M

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On Spectral Properties of Gradient-based Explanation Methods Oxford University Press (Nov 2000)

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On Spectral Properties of Gradient-based Explanation Methods "Why Should I Trust You?": Explaining the Predictions of Any Classifier

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On Spectral Properties of Gradient-based Explanation Methods A Consistent and Efficient Evaluation Strategy for Attribution Methods

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On Spectral Properties of Gradient-based Explanation Methods Nature Machine Intelligence1(5), 206–215 (May 2019)

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On Spectral Properties of Gradient-based Explanation Methods McGraw-Hill (1976), google- Books-ID: kwqzPAAACAAJ Spectral Properties of Gradient-based Explanation Methods 19

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On Spectral Properties of Gradient-based Explanation Methods Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

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On Spectral Properties of Gradient-based Explanation Methods In: Serov, V

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On Spectral Properties of Gradient-based Explanation Methods Not Just a Black Box: Learning Important Features Through Propagating Activation Differences

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On Spectral Properties of Gradient-based Explanation Methods Reliable Post hoc Explanations: Modeling Uncertainty in Explainability

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On Spectral Properties of Gradient-based Explanation Methods SmoothGrad: removing noise by adding noise

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On Spectral Properties of Gradient-based Explanation Methods Axiomatic Attribution for Deep Networks

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This paper cites ArXiv (Jun 2020), https://api.semanticscholar.org/CorpusID:219791950.

On Spectral Properties of Gradient-based Explanation Methods ArXiv (Jun 2020), https://api.semanticscholar.org/CorpusID:219791950

Reference 58

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This paper cites Probabilistic Sufficient Explanations.

On Spectral Properties of Gradient-based Explanation Methods Probabilistic Sufficient Explanations

Reference 59

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This paper cites Why Not Other Classes?.

On Spectral Properties of Gradient-based Explanation Methods Why Not Other Classes?

Reference 60

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This paper cites Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables.

On Spectral Properties of Gradient-based Explanation Methods Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables

Reference 61

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This paper cites Visualizing and Understanding Convolutional Networks.

On Spectral Properties of Gradient-based Explanation Methods Visualizing and Understanding Convolutional Networks

Reference 62

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